A Noise Resistant Correlation Method for Period Detection of Noisy Signals

被引：25

作者：

Fan, Wei ^{[1
,2
]}

Li, Yongxiang ^{[2
]}

Tsui, Kwok Leung ^{[2
]}

Zhou, Qiang ^{[3
]}

机构：

[1] Jiangsu Univ, Sch Mech Engn, Zhenjiang 212000, Peoples R China

[2] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R China

[3] Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2018年 / 66卷 / 10期

关键词：

Period detection; correlation; white noise; fault diagnosis; FAULT-DIAGNOSIS; AUTOCORRELATION; EXTRACTION; REPRESENTATIONS;

D O I：

10.1109/TSP.2018.2813305

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper develops a novel method called the noise resistant correlation method for detecting the hidden period from the contaminated (noisy) signals with strong white Gaussian noise. A novel correlation function is proposed based on a newly constructed periodic signal and the contaminated signal to effectively detect the target hidden period. In contrast with the conventional autocorrelation analysis (AUTOC) method, this method demonstrates excellent performance, especially when facing strong noise. Fault diagnoses of rolling element bearings and gears are presented as application examples and the performance of the proposed method is compared with that of the AUTOC method.

引用

页码：2700 / 2710

页数：11

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